"How to connect with a Confluence page and retrieve its context" matching MCP servers:

Enables searching and retrieving Confluence pages, listing children, and updating pages as drafts, integrating Confluence documentation as context in Claude Code.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

Enables AI-powered generation, customization, and documentation of its-just-ui React components. Provides tools for component generation, theme management, form creation, responsive layouts, and accessibility guidance.

Enables Confluence page lookup, CQL search, page creation/updates, comments, and space discovery through a local MCP server with token-based auth.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A Model Context Protocol (MCP) server for integrating Confluence with OpenCode. Seamlessly search, read, create, and update Confluence pages directly from your AI coding agent.

Enables teams to securely store and retrieve credentials, view decrypted secrets or live OAuth tokens, and connect to third-party MCP servers through a unified MCP endpoint.

Enables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.

MCP server for Confluence Cloud/Server/Data Center, enabling page search, CQL queries, page CRUD, attachment upload, and user identity lookup.

A Model Context Protocol server that enables AI assistants to interact with Confluence content, supporting operations like retrieving, searching, creating, and updating pages and spaces.

A Model Context Protocol server that provides secure access to Atlassian Confluence, allowing users to search, create, update, and manage Confluence pages and spaces through natural language commands.

Enables page search and retrieval from Confluence using the Model Context Protocol. It allows users to search documents via CQL and fetch page content as text for use within Claude.

A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.

Hosts self-contained HTML pages deployed through MCP, giving each page a stable URL for sharing in wikis, PDFs, or presentations.

MCP server for searching and retrieving pages from Atlassian Confluence.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

MCP server for reading Confluence Server/DC documents with search, page content, metadata, spaces, page tree, and attachment/image support.

Enables integration with Atlassian Confluence to browse spaces, search content using CQL, and manage pages directly from MCP-compatible applications. It automatically converts Confluence storage formats into markdown for seamless interaction with AI-driven editors and tools.

A Model Context Protocol server for accessing Confluence API using Personal Access Tokens, enabling users to retrieve space lists, view pages, create new pages, and update existing content.

Enables an agent to open a tldraw.com board in a controlled Chrome tab and draw on it by executing JavaScript against the page's own editor, so edits sync to the shared board. It also captures PNG exports of the view, page, selection, or specific shapes.